Data Structures Learning Tracker 🚀

Track your progress with emojis and checklists!

1. Array 🧮

• [🟢] Array 🧮
  • [✅] Creation: Initialize static/dynamic arrays.
  • [✅] Updation:
    • [✅] Insertion (at ends/positions)
    • [✅] Deletion (at ends/positions)
  • [✅] Access: Index-based retrieval.
  • [✅] Search:
    • [✅] Linear search
    • [✅] Binary search (sorted arrays)
  • [✅] Sorting:
    • [✅] Bubble sort
    • [✅] Insertion sort
    • [✅] Selection sort
    • [✅] Merge sort
    • [✅] Quicksort
  • [✅] Traversal: Forward/backward iteration.

2. Linked List 🔗

• Linked List 🔗
  • [❌] Creation:
    • [❌] Singly linked list initialization
    • [❌] Doubly linked list initialization
    • [❌] Circular linked list initialization
  • [❌] Updation:
    • [❌] Insertion (head, tail, middle)
  • [❌] Deletion:
    • [❌] By value
    • [❌] By position
  • [❌] Access: Node traversal, search.
  • [❌] Reversal:
    • [❌] Reverse the entire list
    • [❌] Reverse a sublist
  • [❌] Cycle Detection: Check for loops (Floyd’s algorithm).

3. Stack 📚

• Stack 📚
  • [❌] Creation: Initialize stack (array/linked list).
  • [❌] Operations:
    • [❌] Push: Add to top.
    • [❌] Pop: Remove from top.
    • [❌] Peek: View top element.
    • [❌] isEmpty/IsFull: Check status.
  • [❌] Applications:
    • [❌] Undo/redo
    • [❌] Function call management

4. Queue 🚶‍♂️🚶‍♀️

• Queue 🚶‍♂️🚶‍♀️
  • [❌] Creation: Initialize queue (array/linked list/circular).
  • [❌] Operations:
    • [❌] Enqueue: Add to rear.
    • [❌] Dequeue: Remove from front.
    • [❌] Front/Rear: View front/rear elements.
    • [❌] isEmpty/IsFull: Check status.
  • [❌] Variants:
    • [❌] Priority Queue
    • [❌] Breadth-First Search (BFS)

5. Hash Table 🗝️

• Hash Table 🗝️
  • [❌] Creation: Initialize hash table (array + hash function).
  • [❌] Operations:
    • [❌] Insert: Key-value pair.
    • [❌] Delete: By key.
    • [❌] Search: By key.
  • [❌] Collision Handling:
    • [❌] Chaining
    • [❌] Open addressing (linear probing, quadratic probing).
  • [❌] Resizing: Dynamic resizing (load factor).

6. Tree 🌳

Binary Tree:

• Binary Tree 🌳
  • [❌] Creation: Root node, child nodes.
  • [❌] Operations:
    • [❌] Insertion
    • [❌] Deletion
    • [❌] Search
  • [❌] Traversal:
    • [❌] Inorder
    • [❌] Preorder
    • [❌] Postorder
    • [❌] Level-order

Self-Balancing Trees:

• Self-Balancing Trees 🌟
  • [❌] AVL Tree: Rotate (LL, RR, LR, RL) to balance.
  • [❌] Red-Black Tree: Insertion/deletion with color adjustments.

B-Tree/B+Tree:

• B-Tree/B+Tree 📊
  • [❌] Creation: Index/leaf nodes.
  • [❌] Operations:
    • [❌] Insertion
    • [❌] Deletion
    • [❌] Search (range queries)

7. Graph 🌐

• Graph 🌐
  • [❌] Representation:
    • [❌] Adjacency List
    • [❌] Adjacency Matrix
  • [❌] Operations:
    • [❌] Add/Remove Node/Edge
  • [❌] Traversal:
    • [❌] BFS
    • [❌] DFS
  • [❌] Algorithms:
    • [❌] Shortest path (Dijkstra, Bellman-Ford)
    • [❌] Topological sort
    • [❌] Minimum spanning tree (Prim’s/Kruskal’s)

8. Heap 🏔️

• Heap 🏔️
  • [❌] Creation: Build min-heap/max-heap.
  • [❌] Operations:
    • [❌] Insert: Heapify up.
    • [❌] Extract-Min/Max: Heapify down.
    • [❌] Search: Not efficient (O(n)).
  • [❌] Applications:
    • [❌] Priority queues
    • [❌] Scheduling

9. Advanced Structures 🚀

• Advanced Structures 🚀
  • [❌] Trie:
    • [❌] Insert
    • [❌] Delete
    • [❌] Search (prefix-based)
  • [❌] Disjoint Set Union (DSU):
    • [❌] Union
    • [❌] Find
    • [❌] Path compression
  • [❌] Skip List: Layered structure for fast search.
  • [❌] Balanced Tree:
    • [❌] Splay Tree
    • [❌] Treap

10. Specialized Data Structures 🎯

• Specialized Data Structures 🎯
  • [❌] Matrix:
    • [❌] Row/column operations
    • [❌] Sparse/dense representation
  • [❌] Stack (Nested): Multi-level stacks (e.g., browser history).
  • [❌] Queue (Circular): Fixed-size queue with wraparound.
  • [❌] Advanced Hashing:
    • [❌] Bloom Filter: Probabilistic existence checks.
    • [❌] Cuckoo Hashing: Double hashing for collision resolution.

Progress Tracker 📊

 Total Tasks: 85  
 Completed: 10 🟢 | In Progress: 0 🟠 | Remaining: 75 🔴  
 Progress: 11.76%  

How to Use

1. Main Topics:
   • Mark the main topic as 🟢 when all its subtopics are completed.
   • Automatically mark all subtopics under the main topic as ✅.
2. Subtopics:
   • If you’re working on individual subtopics, mark them as:
     • ✅ for completed tasks
     • ⚙️ for in-progress tasks
     • ❌ for unstarted tasks
3. Progress Calculation:
   • Update the Progress Tracker manually:
     • Count the number of completed (✅) and in-progress (⚙️) tasks.
     • Calculate the percentage: (Completed + InProgress * 0.5) / TotalTasks * 100.
4. Celebrate milestones by adding emojis like 🎉 or 🏆 next to completed sections!

Happy Learning! 🎓💻